A case analysis of embryonic data mining success

Uroš Bole, Aleš Popovič, Jure Žabkar, Gregor Papa and Jurij Jaklič

International Journal of Information Management, 2015, vol. 35, issue 2, 253-259

Abstract: Within highly competitive business environments, data mining (DM) is viewed as a significant technology to enhance decision-making processes by transforming data into valuable and actionable information to gain competitive advantage. There appears, however, to be a dearth of empirical case studies which consider in detail the initial stages in DM management to enable apt foundation for its later successful implementation. Our research applied a multi-method strategy to determine the critical success factors of embryonic DM implementation. We propose and validate, through a series of cases, a conceptual framework to guide practitioners’ adoption of DM. Our findings reveal additional issues for applied decision making in the context of DM success.

Keywords: Data mining; Predictive analytics; Critical success factors; Case analysis (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:35:y:2015:i:2:p:253-259

DOI: 10.1016/j.ijinfomgt.2014.12.001

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